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A Proximal Policy Optimization Reinforcement Learning Approach to Unmanned Aerial Vehicles Attitude Control Cover

A Proximal Policy Optimization Reinforcement Learning Approach to Unmanned Aerial Vehicles Attitude Control

Land Forces Academy Review
Volume 27 (2022): Issue 4 (December 2022)
By: ,   and    
Open Access
|Jan 2023
Authors

Authors

Răzvan-Ionuț Bălaşa

balasa.razvan@incas.ro

National Institute for Aerospace Research “Elie-Carafoli”, Bucharest, Romania

Marian Ciprian Bîlu

bilu.ciprian@incas.ro

National Institute for Aerospace Research “Elie-Carafoli”, Bucharest, Romania

Cătălin Iordache

iordache.catalin@incas.ro

National Institute for Aerospace Research “Elie-Carafoli”, Bucharest, Romania
DOI: https://doi.org/10.2478/raft-2022-0049 | Journal eISSN: 3100-5071 | Journal ISSN: 3100-5063
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Language: English
Page range: 400 - 410
Published on: Jan 11, 2023
Published by: Nicolae Balcescu Land Forces Academy
In partnership with: Paradigm Publishing Services
Keywords:
proximal policy optimization,
reinforcement learning,
unmanned aerial vehicles
Related subjects:
Social sciences,
Political science,
Political science, other,
Business and economics,
Business management,
Business management, other,
Social sciences,
Education,
Education, other,
Engineering,
Electrical engineering,
Fundamentals of electrical engineering

© 2023 Răzvan-Ionuț Bălaşa, Marian Ciprian Bîlu, Cătălin Iordache, published by Nicolae Balcescu Land Forces Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 27 (2022): Issue 4 (December 2022)
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